Abstract
Prediction is a fundamental objective of science. It is more difficult for chaotic and complex systems like turbulence. Here we use information theory to quantify spatial prediction using experimental data from a turbulent soap film. At high Reynolds number, , where a cascade exists, turbulence becomes easier to predict as the inertial range broadens. The development of a cascade at low is also detected.
- Received 3 December 2014
- Revised 11 March 2015
DOI:https://doi.org/10.1103/PhysRevE.91.043003
©2015 American Physical Society